I am a AI Product Manager passionate about applying machine learning and generative AI to solve real-world challenges in e-commerce and forecasting. At Chewy, I led initiatives across demand planning, recommendation systems, and forecasting innovation, including building proof-of-concept AI copilots for planners and leading a hackathon team to create an AI-powered shopping assistant. I bring a unique mix of technical depth and product thinking, with a focus on making AI systems both explainable and impactful for business users.

I’m interested in real-time AI systems, supply chain innovation, and generative AI copilots that enhance human decision-making. I’m exploring multimodal personalization, reinforcement learning, and scalable ML infrastructure. I also enjoy applying AI in new domains—from e-commerce to scientific discovery—and connecting with collaborators to build practical, explainable, and impactful AI solutions.

Recently, I’ve been building Felix, an AI shopping assistant combining recommendations, GPT personalization, and real-time pipelines. I’m also developing Dreamweaver Co-Pilot to help planners with smarter forecasting overrides. In parallel, I’m experimenting with multi-agent LLM products and rapid prototyping using tools like Cursor, Claude Code, and Replit AI to accelerate AI-driven product development.